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Author: Alan Frieze
Publisher: Cambridge University Press
Published: 2016
Total Pages: 483
ISBN-13: 1107118506
DOWNLOAD EBOOKThe text covers random graphs from the basic to the advanced, including numerous exercises and recommendations for further reading.
Author: Svante Janson
Publisher: John Wiley & Sons
Published: 2011-09-30
Total Pages: 350
ISBN-13: 1118030966
DOWNLOAD EBOOKA unified, modern treatment of the theory of random graphs-including recent results and techniques Since its inception in the 1960s, the theory of random graphs has evolved into a dynamic branch of discrete mathematics. Yet despite the lively activity and important applications, the last comprehensive volume on the subject is Bollobas's well-known 1985 book. Poised to stimulate research for years to come, this new work covers developments of the last decade, providing a much-needed, modern overview of this fast-growing area of combinatorics. Written by three highly respected members of the discrete mathematics community, the book incorporates many disparate results from across the literature, including results obtained by the authors and some completely new results. Current tools and techniques are also thoroughly emphasized. Clear, easily accessible presentations make Random Graphs an ideal introduction for newcomers to the field and an excellent reference for scientists interested in discrete mathematics and theoretical computer science. Special features include: * A focus on the fundamental theory as well as basic models of random graphs * A detailed description of the phase transition phenomenon * Easy-to-apply exponential inequalities for large deviation bounds * An extensive study of the problem of containing small subgraphs * Results by Bollobas and others on the chromatic number of random graphs * The result by Robinson and Wormald on the existence of Hamilton cycles in random regular graphs * A gentle introduction to the zero-one laws * Ample exercises, figures, and bibliographic references
Author: Remco van der Hofstad
Publisher: Cambridge University Press
Published: 2017
Total Pages: 341
ISBN-13: 110717287X
DOWNLOAD EBOOKThis classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.
Author: Béla Bollobás
Publisher: Cambridge University Press
Published: 2001-08-30
Total Pages: 520
ISBN-13: 9780521797221
DOWNLOAD EBOOKThis is a revised and updated version of the classic first edition.
Author: Rick Durrett
Publisher: Cambridge University Press
Published: 2010-05-31
Total Pages: 203
ISBN-13: 1139460889
DOWNLOAD EBOOKThe theory of random graphs began in the late 1950s in several papers by Erdos and Renyi. In the late twentieth century, the notion of six degrees of separation, meaning that any two people on the planet can be connected by a short chain of people who know each other, inspired Strogatz and Watts to define the small world random graph in which each site is connected to k close neighbors, but also has long-range connections. At a similar time, it was observed in human social and sexual networks and on the Internet that the number of neighbors of an individual or computer has a power law distribution. This inspired Barabasi and Albert to define the preferential attachment model, which has these properties. These two papers have led to an explosion of research. The purpose of this book is to use a wide variety of mathematical argument to obtain insights into the properties of these graphs. A unique feature is the interest in the dynamics of process taking place on the graph in addition to their geometric properties, such as connectedness and diameter.
Author: Joel Spencer
Publisher: Springer Science & Business Media
Published: 2013-03-09
Total Pages: 167
ISBN-13: 3662045389
DOWNLOAD EBOOKThe study of random graphs was begun in the 1960s and now has a comprehensive literature. This excellent book by one of the top researchers in the field now joins the study of random graphs (and other random discrete objects) with mathematical logic. The methodologies involve probability, discrete structures and logic, with an emphasis on discrete structures.
Author: V. F. Kolchin
Publisher: Cambridge University Press
Published: 1999
Total Pages: 266
ISBN-13: 0521440815
DOWNLOAD EBOOKResults of research on classical combinatorial structures such as random graphs, permutations, and systems of random linear equations in finite fields.
Author: Sourav Chatterjee
Publisher: Springer
Published: 2017-08-31
Total Pages: 175
ISBN-13: 3319658166
DOWNLOAD EBOOKThis book addresses the emerging body of literature on the study of rare events in random graphs and networks. For example, what does a random graph look like if by chance it has far more triangles than expected? Until recently, probability theory offered no tools to help answer such questions. Important advances have been made in the last few years, employing tools from the newly developed theory of graph limits. This work represents the first book-length treatment of this area, while also exploring the related area of exponential random graphs. All required results from analysis, combinatorics, graph theory and classical large deviations theory are developed from scratch, making the text self-contained and doing away with the need to look up external references. Further, the book is written in a format and style that are accessible for beginning graduate students in mathematics and statistics.
Author: Anthony C. C. Coolen
Publisher: Oxford University Press
Published: 2017
Total Pages: 325
ISBN-13: 0198709897
DOWNLOAD EBOOKThis book describes how to correctly and efficiently generate random networks based on certain constraints. Being able to test a hypothesis against a properly specified control case is at the heart of the 'scientific method'.
Author: Philipp Blanchard
Publisher: Springer Science & Business Media
Published: 2011-05-26
Total Pages: 271
ISBN-13: 364219592X
DOWNLOAD EBOOKMost networks and databases that humans have to deal with contain large, albeit finite number of units. Their structure, for maintaining functional consistency of the components, is essentially not random and calls for a precise quantitative description of relations between nodes (or data units) and all network components. This book is an introduction, for both graduate students and newcomers to the field, to the theory of graphs and random walks on such graphs. The methods based on random walks and diffusions for exploring the structure of finite connected graphs and databases are reviewed (Markov chain analysis). This provides the necessary basis for consistently discussing a number of applications such diverse as electric resistance networks, estimation of land prices, urban planning, linguistic databases, music, and gene expression regulatory networks.
